摘要
为了消除光照条件变化以及噪声等因素对人脸识别结果的影响,提出了对人脸图像进行一系列预处理工作,以去除影响人脸识别结果的相关不利因素,再结合主分量分析与线性鉴别分析的进行人脸识别.实验结果表明,所提出的方法不仅提高了识别率,而且减少了训练与分类时间.
In this paper, based on a series of image preprocessing work to remove the unfavorable factors that affect the recognition results, combined with principal component analysis and linear discriminant analysis in order to eliminate the effects of changes in lighting conditions and noise factors such as face recognition results, for face rec- ognition. The experimental results show that the proposed method not only improves the recognition rate, and re- duces training and classification time.
出处
《云南民族大学学报(自然科学版)》
CAS
2012年第3期202-206,共5页
Journal of Yunnan Minzu University:Natural Sciences Edition
基金
广西壮族自治区自然科学基金(2009AM702)
关键词
图像预处理
主分量分析
线性判别分析
识别率
image preprocessing
principal component analysis
linear discriminant analysis
recognition rate